Triple

T201064
Position Surface form Disambiguated ID Type / Status
Subject Estelle Getty E4504 entity
Predicate portrayed P1668 FINISHED
Object Sophia Petrillo E85795 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sophia Petrillo | Statement: [Estelle Getty, portrayed, Sophia Petrillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophia Petrillo
Context triple: [Estelle Getty, portrayed, Sophia Petrillo]
  • A. Sophia Petrillo chosen
    Sophia Petrillo is the sharp-tongued, witty Sicilian matriarch from the sitcom "The Golden Girls," known for her blunt humor and memorable one-liners.
  • B. Sophia Strahan
    Sophia Strahan is one of former NFL star and television host Michael Strahan’s twin daughters, known publicly through her appearances with her father in media and on social platforms.
  • C. Reagan Gomez-Preston
    Reagan Gomez-Preston is an American actress and voice actress best known for her roles in television sitcoms and animated series.
  • D. Lila Hotz
    Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
  • E. Alicia Nash
    Alicia Nash was a Salvadoran-American physicist and mental health advocate best known as the devoted wife of mathematician John Nash, whose life with him was portrayed in the film "A Beautiful Mind."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25be47ea881909c296b30a0d47a65 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a6786f051481909474159c0e1f886c completed March 3, 2026, 5:58 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.